cosmos3-post-training SKILL.md skillA
cosmos3-post-training from nvidia/cosmos-framework is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/cosmos-framework/cosmos3-post-training@git:20260601.1bd5fdcPins git:20260601.1bd5fdc in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia/cosmos-framework
- Path
.claude/skills/cosmos3-post-training/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260601.1bd5fdc, committed Jun 1, 2026
- Size
- 11,030 bytes
- Repository stars
- 613
- License
- a license file GitHub does not identify
Guide users through Cosmos3 supervised fine-tuning (SFT) post-training: preparing the example dataset and Wan2.2 VAE, converting the base checkpoint to DCP, launching distributed training (paired launch shell recommended, raw `torchrun` as an alternative), running T2V/I2V/V2V inference with the trained DCP checkpoint, and optionally exporting it to Hugging Face safetensors. Use when the user asks how to post-train Cosmos3, fine-tune on a custom video dataset, export a trained checkpoint, or…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Cosmos3 Post-Training (SFT) ## When to use this skill - User wants to fine-tune Cosmos3-Nano (or Cosmos3-Super via LoRA) on the example Bridge video dataset or a custom video dataset (SFT) - User asks which fields in a recipe TOML to override (`[model.parallelism].data_parallel_shard_degree`, `[dataloader_train].max_samples_per_batch`, `[optimizer].lr`, `[trainer].max_iter`, `[checkpoint].load_path`, ...) or which experiment SKU to pick - User wants to convert a base Hugging Face checkpoint to DCP, or convert a trained DCP back to safetensors - For installation, `--group=cu130-train` / `cu128-train`, or LD_LIBRARY_PATH issues, hand off to **cosmos3-setup** - For inference parameters, parallelism presets, or online serving, hand off to **cosmos3-inference** - For raw-video captioning or assembling a SFT JSONL, see `docs/dataset_jsonl.md` (the captioning flow has moved out of `docs/training.md`) ## Path convention All paths below are relative to the cosmos3 package root (`../../../` from this skill file). All `uv run` / `python` / `torchrun` / `bash` commands should also be run from there. ## Where to find answers …
Read the whole file at its exact version.
How to install
mdr add nvidia/cosmos-framework/cosmos3-post-training@sha256:65107bb779c36294The line at the top of this page pins the label git:20260601.1bd5fdc, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_saqvevkdpg6nkyh2)
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Versions
The registry has recorded 1 version of this file, committed on Jun 1, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
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- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
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- pass: No link to a raw IP address
- pass: No script tag
Source
nvidia/cosmos-framework · 613 stars · license a license file GitHub does not identify · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_saqvevkdpg6nkyh2 GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/cosmos-framework/cosmos3-post-training GET https://markdownregistry.com/api/v1/blob/65107bb779c36294e36ad5b454a513c1f80f65a0de2fb3c057841ebb42e8a12f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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